Enhancing the customer experience through customer service is among the most important disciplines for any organization for one simple reason: without customers, organizations would fail overnight. Customer service, sometimes called customer care or customer support, relates to the activities organizations take to ensure their customers’ needs are being met with timely actions and reliable answers.
While every customer interaction is different, organizations that want to improve customer retention and grow their customer base must create an effective customer service strategy. However, this strategy doesn’t come without automation and artificial intelligence (AI). Businesses are embracing technology, such as automation and AI-powered tools to deliver fast, seamless service. Responding to customer feedback isn’t enough anymore—customers expect the business to be proactive, responsive and available nonstop.
Today, customer service has leapfrogged to be CEO’s number one generative AI priority, according to the IBM Institute for Business Value (IBV). The driving force being stakeholders with almost half of CEOs saying they’re feeling demands from customers to accelerate the use of the new technology.
To deliver the best customer service, it requires combining customization with organization-wide rules for how to respond to customer issues and creating the best mix of personalization and scalability. Furthermore, with a combination of AI tools and human agents businesses can offer enhanced value to customers and build out a strategic customer service strategy.
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Exceptional customer service is more important than ever. Poor service is the top reason consumers stop purchasing from a company, according to Salesforce’s State of the Connected Customer Report. Organizations agree: most service professionals say that customer expectations have increased since before the pandemic.
Today, customers are more likely to switch to different products or cancel a membership than any other time in recent memory. As the pandemic created stock-outs, order cancellations and difficult in-person shopping conditions, it disrupted the usual customer experience and as a result, customer loyalty slipped.
McKinsey found that 75% of consumers tried new shopping behaviors during the pandemic, and 39% chose new brands over their existing favorites. The trend was even more pronounced among Gen Z and millennials, evidence that addressing customer needs grow in importance.
While customers are still enticed by many factors, such as product pricing, availability and convenience, they also want organizations to understand their pain points. Furthermore, customers want organizations to provide a simple way for them to directly communicate and receive answers about their goods and services. About 70% of customers report making purchase decisions based on the quality of their customer service experience, according to Zendesk.
As such, leading organizations are obsessive about providing an excellent customer experience. They must cater to their customers’ needs, be ready to address any issues that arise instantaneously and do everything possible to meet customers’ expectations.
The difference between great customer service, good customer service and poor customer service can mean the difference between keeping customers and losing them to a competitor.
A great customer service strategy requires a business to be open-minded about introducing new technology to their workflows and understand that developing new practices take time. There are several strategies businesses can use to help their customer service processes function at a higher level and bring customer-first support to their customers.
Customers today are more conscious of the values of and delivered by the organizations from which they buy goods and services. They also know it has never been easier to switch solutions or products if they’re not getting what they want from those organizations.
In short, organizations should do everything possible to attract and retain loyal customers. While estimates vary by industry, it is well documented that it costs more to recruit a new customer than to retain existing ones.
An organization’s customer service vision can set the tone for the employees to understand how important their role is in the delivery of excellent customer service.
As such, organizations must be more mindful of every potential touch point on the customer journey as an opportunity to reinforce value and ensure that customers are happy with the experience. Organizations should surprise and delight existing, high-value customers by asking how they can provide more value.
Some examples of how they can do this action include providing limited edition or exclusive offerings or otherwise surprising and delighting those customers when possible. Making customers happy upfront will lessen the impact should something go wrong in the future.
While human representatives remain a critical component of any customer service strategy, technological advancements like automation and AI can help organizations serve more customers more effectively and streamline operations. Specifically, there is a growing interest in workflow optimization that uses AI, or intelligent automation. AI agents can be integrated into websites and apps to increase call center efficiency and reduce costs.
AI can provide automated chat support, live script recommendations for representatives on phone calls with customers, predictive issue resolution and enhancements that help customer service reps do their jobs quicker and effectively.
Separately, AI can help boost agent productivity by providing access to insights and relevant information that they can use to respond to inquiries more quickly. With IBM® watsonx Orchestrate™ businesses can build intelligent AI agents for customer service that prioritizes data security and safeguards customer information.
It is more complicated to manage customer support today than at any time in the past. Long gone are the days when customers would try to reach organizations individually through the two dominant channels of the time—a customer service phone line or by writing a letter.
Organizations often deploy a customer support strategy where all customer service issues go to one help desk. There, those issues can be routed to available reps that can address the issue based on their expertise or availability.
Now, customers have various channels to receive and send communications, such as text-based social media, online videos, chat rooms, help forums and chatbots.
As such, front-line customer service teams must be adept at addressing real-time customer issues wherever they are raised. These teams must understand that other customers can easily see whether an organization is responding to its customers’ questions and know exactly what those organizations are saying.
The modern customer service approach means that many organizations must invest in talent development initiatives to prepare customer service reps for the future.
For example, customer service now takes place in an omnichannel environment where they might need to triage conversations occurring on multiple channels. Organizations can improve the time-to-response by deploying chatbots to understand a customer’s general requests.
While this automation strategy saves costs, an organization must be quick to switch to a human operator in the customer support team if the chatbot cannot successfully solve that customer’s issue. Maintaining a high level of customer service standards is incredibly important.
Complicating these requests is that they’re being seen by thousands, maybe millions of people, which further creates more customer service issues through word-of-mouth conversations. For example, a customer complaining about a product immediately failing to work just days after purchase can discourage some potential customers who read that message from buying the same product.
This situation can cut both ways. Customers who discuss a positive experience they had with a brand could help that organization recruit new customers.
While many customers might prefer speaking directly with a representative, others are more than happy to research a solution to their issue and solve it themselves. Therefore, organizations should invest in educational resources like frequently asked questions (FAQs) and larger informational databases to provide a wealth of information to customers who prefer finding the answer on their own.
This approach increases the utility of solutions for a percentage of customers and alleviates some bottom-line costs because it does not require customer support reps to hold costly one-to-one conversations. It also frees up the other support agents to deal directly with more customers who prefer having a representative walk them through solutions.
Customer relationship management (CRM) systems are a great way to know more about existing and new customers. CRMs are incredibly important for customer service operations to know whether and when a customer had an issue, whether it was resolved and any necessary follow-up steps that might arise.
It can also determine whether certain customers are buying more of or less of the products than in the past, allowing the organization to deploy the right resources to maximize value. However, organizations must protect this customer data at all costs, as there are legal and reputational obligations for safeguarding customer information.
Separately, AI technology can also help develop a reliable customer feedback loop that helps a business manage customer feedback in a succinct way. Automation tools can be used to create simple feedback requests and responses, freeing up the human customer service team members to address more pressing issues.
No customer service strategy is complete without metrics, KPIs and continuous measurement. Organizations must have the right key performance indicators (KPIs) for customer satisfaction and must track them regularly.
Organizations must ensure that they have well-defined and achievable customer service goals. A great way to do so is to use the SMART (specific, measurable and achievable in a reasonable time frame) framework that ensures goals have concrete targets. This way, the organization can easily assess whether they succeeded or not.
For instance, it is nearly impossible to ensure 100% perfect customer happiness. And it is also unlikely that every customer who raises an issue with a customer service agent goes away from the encounter satisfied. They must first benchmark how the organization is doing in these key areas, set specific targets for improvement and track progress.
While every organization has different benchmarks and unique goals, here are some metrics they can measure to determine those SMART goals.
Organizations must continue to invest in strong customer service to ensure that they retain their existing customers and gain new ones either through referrals or positive word-of-mouth. Providing better customer service than the competition is one way to grow a business and maintain a strong reputation. By following the preceding guidelines, organizations can thrive in an increasingly competitive marketplace.
AI is not expected to go away any time soon. In fact, 85% of executives say that generative AI will be interacting directly with customers in the next two years, according to the IBM Institute of Business Value (IBV). While businesses are eager to deploy gen AI, it’s essential for business leaders to be patient and not let AI deliver less-than-ideal outcomes.
IBM has been helping enterprises apply trusted AI in this space for more than a decade. Generative AI has further potential to significantly transform customer and field service with the ability to understand complex inquiries and generate more human-like, conversational responses.
IBM watsonx Orchestrate is a solution that can build AI agents for customer service on IBM’s intuitive interface without having to write code. The customers of today expect exceptional service and that doesn’t come without AI and the human agent working together.
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